Deep Learning in Audio for Absolute Beginners: From No Experience to a Deployed Model

Discover how to start with deep learning in audio processing, even as a complete beginner, in this comprehensive 51-minute conference talk from the Audio Developer Conference. Learn to debunk common myths about deep learning, acquire essential skills through a four-step process, create datasets for modeling analog devices, train your first deep learning model using PyTorch without extensive computational resources, and deploy your model in a real-time audio plugin. Follow along with a live demonstration of setting up a deep learning pipeline and training a neural network for Virtual Analog modeling of a distortion effect. Gain insights into machine learning concepts, neural network architectures, and practical techniques for audio applications, all presented in an accessible manner for those new to the field.